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Georgia Tech 🐝 with Haynes King Split Zone Play Action H Pop Pass (Split Zone Kick Guy bluffs and pops vertical) Layer your runs with your passes 👌🏼

Coach Mark Patritto

1,474 subscribers

13,465 次观看 • 3 个月前 •via X (Twitter)

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Says everything you need to know about Haynes King that he stayed an hour late to sign autographs and take pictures with Georgia Tech Football fans ✍️📸🐝 #StingEm

Says everything you need to know about Haynes King that he stayed an hour late to sign autographs and take pictures with Georgia Tech Football fans ✍️📸🐝 #StingEm

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1st play on offense, 13 personnel, play-action off split zone look vs single high. Bowers motions to become new #1, CBs shift responsibilities. WR Tre Tucker runs right by the CB on corner route, throws up a mailbox, and Smith misses potential TD. #RaiderNation

1st play on offense, 13 personnel, play-action off split zone look vs single high. Bowers motions to become new #1, CBs shift responsibilities. WR Tre Tucker runs right by the CB on corner route, throws up a mailbox, and Smith misses potential TD. #RaiderNation

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🎮 TitanBorn⚡ x #Telos | Free Game Pass NFT & $1500 Prize Pool! 🎮 Don’t miss your chance to mint a Game Pass NFT and grab a shot at $1500! 👉 Complete the quests and secure your spot on the whitelist: With the Game Pass, you unlock these perks: 🔑 Access to TitanBorn’s Play-and-Earn features 💸 Entry into a $1000 raffle 💪 Early access to the Play-to-Airdrop Campaign Mint is free on September 12th with only 200 game passes available. Learn more:

🎮 TitanBorn⚡ x #Telos | Free Game Pass NFT & $1500 Prize Pool! 🎮 Don’t miss your chance to mint a Game Pass NFT and grab a shot at $1500! 👉 Complete the quests and secure your spot on the whitelist: With the Game Pass, you unlock these perks: 🔑 Access to TitanBorn’s Play-and-Earn features 💸 Entry into a $1000 raffle 💪 Early access to the Play-to-Airdrop Campaign Mint is free on September 12th with only 200 game passes available. Learn more:

Telos

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Look at the route distribution to the boundary and how they're just compressing the space of the 3 routes using 4 defenders playing with perfect depth and leverage maintenance. This is the essence of a Vic Fangio split safety coverage — play 4-over-3 to the side #3 releases to, distribute the dirty bunch using zone principles to keep all the routes caged in and just suffocate the concept.

Look at the route distribution to the boundary and how they're just compressing the space of the 3 routes using 4 defenders playing with perfect depth and leverage maintenance. This is the essence of a Vic Fangio split safety coverage — play 4-over-3 to the side #3 releases to, distribute the dirty bunch using zone principles to keep all the routes caged in and just suffocate the concept.

Honest NFL

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It's been a month since Rematch's kick-off, and we've hit 5 million unique players since then! Whether you're practicing your dribbles in free play, stopping all your opponents' shots, or making game-winning passes for your team, thank you for being with us! We'll continue to work hard to make Rematch the best version it can be, and we'll continue to rely on you to help us do so. See you on the pitch!

It's been a month since Rematch's kick-off, and we've hit 5 million unique players since then! Whether you're practicing your dribbles in free play, stopping all your opponents' shots, or making game-winning passes for your team, thank you for being with us! We'll continue to work hard to make Rematch the best version it can be, and we'll continue to rely on you to help us do so. See you on the pitch!

Rematch

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Ole Miss 2 DT on offense, running the power scheme from the wildcat. QB 6 pulls the DE out as he works to the sideline and the DT makes the great blocks in the red zone with great technique attacking the outside shoulders! Coaches get ready to be asked by your DT to play O on the goal line!

Ole Miss 2 DT on offense, running the power scheme from the wildcat. QB 6 pulls the DE out as he works to the sideline and the DT makes the great blocks in the red zone with great technique attacking the outside shoulders! Coaches get ready to be asked by your DT to play O on the goal line!

coachkou

16,841 次观看 • 8 个月前

A lot of hitters confuse being late with letting the ball get deep. They’re not the same thing. In this video I show it with a simple example. I toss the ball and reach way out in front of me to catch it. That’s what late looks like. The ball already beat you… now you’re chasing it with your hands. Then I toss another one and catch it slightly behind me. That’s being on time and letting the ball get deep. When you’re late, your body and barrel are reacting after the ball passes your window. You’re forced to reach, cut across it, or roll it over. When you’re on time, you can let the ball travel and still control it. Now the barrel can stay through the zone longer, and you can drive it with authority. Deep ≠ late. Good hitters aren’t reaching for the ball… they’re on time enough to let it come to them. ⚾️ Train with an expert. Not an influencer.

A lot of hitters confuse being late with letting the ball get deep. They’re not the same thing. In this video I show it with a simple example. I toss the ball and reach way out in front of me to catch it. That’s what late looks like. The ball already beat you… now you’re chasing it with your hands. Then I toss another one and catch it slightly behind me. That’s being on time and letting the ball get deep. When you’re late, your body and barrel are reacting after the ball passes your window. You’re forced to reach, cut across it, or roll it over. When you’re on time, you can let the ball travel and still control it. Now the barrel can stay through the zone longer, and you can drive it with authority. Deep ≠ late. Good hitters aren’t reaching for the ball… they’re on time enough to let it come to them. ⚾️ Train with an expert. Not an influencer.

Stance Doctor

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Geoff Schwartz

344,998 次观看 • 1 年前

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OrvexHub

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Mario Nawfal

99,457 次观看 • 6 个月前

The body movements of Anime characters in Seedance doesn’t has to be always rigid and constrained. They can be as expressive as the real anime too. Here’s a quick tips on how to achieve the cartoony acting style for your anime characters: Special shoutout to Ameilo for sharing the prompt that unlocked this acting style. This tips sharing is made possible by Try ArtCraft Add this Key Prompt above your prompt: Emphasize snappy animation with lively energy, pose-to-pose, strong anticipation, overshoot, squash and stretch, quick switches in facial expressions, and follow-through on hair and sleeves. Give the movements a distinctive rhythm with variation in pacing: Hold still poses firmly for a split second, then transition to the next movement with a quick, bouncy snap. Make it comical and well-timed, but keep the actions easy to read. Movements follow: "stillness → preparatory action → sudden acceleration → large overshoot → sharp stop → hair and sleeves sway delayed." Facial changes are exaggerated and comical. Poses are clear in silhouette, with a solid hold of 0.1–0.2 seconds at the end of each action. Use cartoonish squash & stretch, motion blur, short afterimages, dramatic smear frames and speed lines sparingly. Physics are slightly exaggerated beyond reality, but the character's footing and center of gravity don't break.

The body movements of Anime characters in Seedance doesn’t has to be always rigid and constrained. They can be as expressive as the real anime too. Here’s a quick tips on how to achieve the cartoony acting style for your anime characters: Special shoutout to Ameilo for sharing the prompt that unlocked this acting style. This tips sharing is made possible by Try ArtCraft Add this Key Prompt above your prompt: Emphasize snappy animation with lively energy, pose-to-pose, strong anticipation, overshoot, squash and stretch, quick switches in facial expressions, and follow-through on hair and sleeves. Give the movements a distinctive rhythm with variation in pacing: Hold still poses firmly for a split second, then transition to the next movement with a quick, bouncy snap. Make it comical and well-timed, but keep the actions easy to read. Movements follow: "stillness → preparatory action → sudden acceleration → large overshoot → sharp stop → hair and sleeves sway delayed." Facial changes are exaggerated and comical. Poses are clear in silhouette, with a solid hold of 0.1–0.2 seconds at the end of each action. Use cartoonish squash & stretch, motion blur, short afterimages, dramatic smear frames and speed lines sparingly. Physics are slightly exaggerated beyond reality, but the character's footing and center of gravity don't break.

SujiPop

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Rivian is releasing this super cool Halloween update where you can “dress up” your Rivian in one of three themes. Another showcase of their vertical integration of software / hardware / fun engineers! The “Trunk or Treat” option is perfect for leaving your Rivian in the driveway to create a spooky aura during the trick-or-treat hours 😱. There are a few different freaky music choices but the best part is you can select from a bunch of different scary sounds from a sound board on your mobile app to freak people out as they approach your truck. This comes on top of the other fantastic improvements found in the software package 2024.39 - which include a gauge cluster refresh, third zone climate control (rear can now be set to a different temp), and more! I’ve been lucky enough to play around with these updates for a bit BUT you really should go check out Jose | RivianTrackr for the full detailed information on the Halloween surprises. Rivian will release these features tomorrow to the wide user base ⚡️

Kyle Conner

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Impeccable 3.7 brings linting to design. Until now it was a skill you asked for help. Now it's a design-system-aware feedback loop that runs while your agent builds, catching slop and design drift before they land. 🪝 Design hooks for Claude, Codex, and Cursor They run after every UI edit and quietly nudge your agent to fix slop and drift. The output isn't another wall of lint: it separates new findings from already-seen ones, flags clean scans, and asks the agent to use judgment. Fix real issues, leave intentional demos alone, save exceptions to config instead of littering your source. 🎨 Slop detection is now project-aware Reads your actual design system from DESIGN.md, your typography, palette, radius scale, and tokens, and flags drift from your system, not just generic AI slop: • this font isn't in your design system • this color is outside your documented palette • this radius doesn't match your rounded scale The same engine powers both the hooks and the CLI, and it's where we're investing next. 🖥️ Live Mode, ready for real projects Svelte/SvelteKit now preview variants as temporary framework components with live params, then accept cleanly back into your source component. Manual text edits got evidence / apply / discard routes, insertions preserve their anchors, and mapped lists and JSX slots clean up far more reliably. ⚡ Leaner core, sharper detector Rule-level evals across 3 providers and 4 niches cut guidance with no measurable lift and dropped examples that taught models bad patterns. The detector now skips hidden and screen-reader-only elements, understands OKLCH alpha and Sass-like inputs, and tightened checks for repeated kickers, oversized H1s, clipped overflow, and cramped padding. 🛠️ CLI caught up impeccable detect loads DESIGN.md by default, motion findings name the exact token or cubic-bezier instead of just "bounce," and impeccable ignores gives real CRUD for exceptions. Hooks and CLI share the same ignores. No split-brain config. Plus a much-improved interactive installer with hooks setup built in. Upgrade: npx impeccable install npm i -g impeccable

Impeccable

230,789 次观看 • 1 个月前

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⚔️ CAMBRIA: HERE’S WHY WE’RE HOOKED! ⚔️ Cambria wrapped up an epic Season 1 and Core Mint, leaving us wanting more! With a New Year event ahead, the action isn’t slowing down. Missed out? No worries—new seasons await! Here are 3 features that make Cambria a must-play ⬇️ — 🟠 SKILL MASTERY SYSTEM 🔶 Unlock and master a variety of skills that directly influence your success—no shortcuts, just dedication. 🔶 From crafting weapons and equipment to cooking for buffs, these skills are vital for sustainability and long-term success. 🔶 Prefer earning gold? Go fishing or hunt monsters, then sell your goods in the market for profit. — 🟠 RISK-TIERED MAP AREAS 🔶Maps are divided into 5 tiers, each with varying risks and penalties for death. 🔶 In Tier 1, there’s no penalty for dying. In Tier 2, equipment degrades by 50%. Tier 3 and above? Lose all loot, with Tier 4-5 even stripping you of your equipment. 🔶 From Tier 3 onward, other players can attack you, adding a thrilling layer of risk and excitement. — 🟠 ENERGY MANAGEMENT 🔶Exploring in Tier 3+ zones offers better loot but consumes Energy. Manage it wisely for optimal gains. 🔶 Energy regenerates slowly over time or can be restored instantly with purchasable Energy Orbs. 🔶 No Energy means no loot—balance your gameplay to stay in the action while taking breaks to recharge. — Connect with fellow players and share strategies—join our community on Discord! Link in bio. ⚔️

Beam Gamers

11,959 次观看 • 1 年前

🚨 JUST IN: CHINA just released an AI EMPLOYEE that works 24X7 on its own. 100% OPEN SOURCE. It researches, codes, builds websites, creates slide decks, and generates videos. All by itself. All on your computer. It's called DeerFlow. You give it a task. It makes a plan, spins up its own team of sub-agents, and gets to work. You come back and there's a finished deliverable waiting. Not a draft. Not a summary. The actual thing. Not a chatbot. Not a research assistant. An AI with its own computer that works while you sleep. Here's what it does on its own: → Spawns multiple sub-agents in parallel, each tackling a different piece of your task, then combines everything into one finished output → Writes real code, runs it, reads the results, and fixes its own mistakes without asking you once → Builds slide decks, websites, full research reports, and data dashboards from scratch → Remembers you across sessions. Your writing style. Your tech stack. Your preferences. Gets better every time. → Reads files you upload, works with them inside its own filesystem, hands you clean finished outputs → Searches the web, runs commands, calls any tool you plug in Here's how it thinks: You give one instruction. The lead agent makes a plan. Sub-agents fan out and work in parallel. Results come back. Everything gets synthesized. You get a deliverable. A single research task might split into a dozen sub-agents, each exploring a different angle, then converge into one finished website with generated visuals. Here's the wildest part: DeerFlow 2.0 launched on February 28th 2026 and hit number 1 on all of GitHub Trending the same day. Version 2.0 was a complete rewrite. Zero shared code with version 1. Because users kept using it for things the team never intended. Data pipelines. Dashboards. Entire content workflows. The community told them what it needed to become. So they burned it down and rebuilt it. 22.7K GitHub stars. 2.7K forks. Built by ByteDance 100% Open Source. MIT License.

🚨 JUST IN: CHINA just released an AI EMPLOYEE that works 24X7 on its own. 100% OPEN SOURCE. It researches, codes, builds websites, creates slide decks, and generates videos. All by itself. All on your computer. It's called DeerFlow. You give it a task. It makes a plan, spins up its own team of sub-agents, and gets to work. You come back and there's a finished deliverable waiting. Not a draft. Not a summary. The actual thing. Not a chatbot. Not a research assistant. An AI with its own computer that works while you sleep. Here's what it does on its own: → Spawns multiple sub-agents in parallel, each tackling a different piece of your task, then combines everything into one finished output → Writes real code, runs it, reads the results, and fixes its own mistakes without asking you once → Builds slide decks, websites, full research reports, and data dashboards from scratch → Remembers you across sessions. Your writing style. Your tech stack. Your preferences. Gets better every time. → Reads files you upload, works with them inside its own filesystem, hands you clean finished outputs → Searches the web, runs commands, calls any tool you plug in Here's how it thinks: You give one instruction. The lead agent makes a plan. Sub-agents fan out and work in parallel. Results come back. Everything gets synthesized. You get a deliverable. A single research task might split into a dozen sub-agents, each exploring a different angle, then converge into one finished website with generated visuals. Here's the wildest part: DeerFlow 2.0 launched on February 28th 2026 and hit number 1 on all of GitHub Trending the same day. Version 2.0 was a complete rewrite. Zero shared code with version 1. Because users kept using it for things the team never intended. Data pipelines. Dashboards. Entire content workflows. The community told them what it needed to become. So they burned it down and rebuilt it. 22.7K GitHub stars. 2.7K forks. Built by ByteDance 100% Open Source. MIT License.

Kanika

737,110 次观看 • 3 个月前

Introducing Pods Hyperspace Pods lets a small group of people - a family, a startup, a few friends, to pool their laptops and desktops into one AI cluster. Everyone installs the CLI, someone creates a pod, shares an invite link, and the machines form a mesh. Models like Qwen 3.5 32B or GLM-5 Turbo that need more memory than any single laptop has get automatically sharded across the group's devices - layers split proportionally, inference pipelined through the ring. From the outside it looks like one OpenAI-compatible API endpoint with a pk_* key that drops straight into your AI tools and products. No configuration beyond pasting the key and changing the base URL. A team of five paying for cloud AI burns $500–2,000 a month on API calls. The same team's existing machines can serve Qwen 3.5 (competitive on SWE-bench) and GLM-5 Turbo (#1 on BrowseComp for tool-calling and web research) for free - the hardware is already on their desks. When a query genuinely needs a frontier model nobody has locally, the pod falls back to cloud at wholesale rates from a shared treasury. But for the daily work - code reviews, refactors, research, drafting - local models handle it and nobody gets billed. And when it is idle, you can rent out your pod on the compute marketplace, with fine-grained permissions for access management. There's no central server involved in inference. Prompts go from your machine to your pod members' machines and back: all of this enabled by the fully peer-to-peer Hyperspace network. Pod state - who's a member, which API keys are valid, how much treasury is left - is replicated across members with consensus, so the whole thing works on a local network. Members behind home routers don't need port forwarding either. The practical setup for most pods is three models covering different jobs: Qwen 3.5 32B for code and reasoning, GLM-5 Turbo for browsing and research, Gemma 4 for fast lightweight tasks. All running on hardware you already own. Pods ship today in Hyperspace v5.19. Model sharding, API keys, treasury, and Raft coordinator are all live. What Makes This Different - No middleman. Your prompts travel from your IDE to your pod members' hardware and back. There is no server in between reading your data. - No vendor lock-in. Pod membership, API keys, and treasury are replicated across your own machines using Raft consensus. If the internet goes down, your local network keeps working. There is no database in someone else's cloud that your pod depends on. - Automatic sharding. You don't configure layer ranges or calculate VRAM budgets. Tell the pod which model you want. It figures out how to split it across whatever hardware is online. - Real NAT traversal. Your friend behind a home router with a dynamic IP? Works. No VPN, no Tailscale, no port forwarding. The nodes handle it. - Free when local. This is the part that matters most. Cloud AI bills scale with usage. Pod inference on local hardware scales with nothing. The marginal cost of your 10,000th prompt is the electricity your laptop was already using. Coming soon: - Pod federation: pods form alliances with other pods. - Marketplace: pods with spare capacity can sell inference to other pods.

Introducing Pods Hyperspace Pods lets a small group of people - a family, a startup, a few friends, to pool their laptops and desktops into one AI cluster. Everyone installs the CLI, someone creates a pod, shares an invite link, and the machines form a mesh. Models like Qwen 3.5 32B or GLM-5 Turbo that need more memory than any single laptop has get automatically sharded across the group's devices - layers split proportionally, inference pipelined through the ring. From the outside it looks like one OpenAI-compatible API endpoint with a pk_* key that drops straight into your AI tools and products. No configuration beyond pasting the key and changing the base URL. A team of five paying for cloud AI burns $500–2,000 a month on API calls. The same team's existing machines can serve Qwen 3.5 (competitive on SWE-bench) and GLM-5 Turbo (#1 on BrowseComp for tool-calling and web research) for free - the hardware is already on their desks. When a query genuinely needs a frontier model nobody has locally, the pod falls back to cloud at wholesale rates from a shared treasury. But for the daily work - code reviews, refactors, research, drafting - local models handle it and nobody gets billed. And when it is idle, you can rent out your pod on the compute marketplace, with fine-grained permissions for access management. There's no central server involved in inference. Prompts go from your machine to your pod members' machines and back: all of this enabled by the fully peer-to-peer Hyperspace network. Pod state - who's a member, which API keys are valid, how much treasury is left - is replicated across members with consensus, so the whole thing works on a local network. Members behind home routers don't need port forwarding either. The practical setup for most pods is three models covering different jobs: Qwen 3.5 32B for code and reasoning, GLM-5 Turbo for browsing and research, Gemma 4 for fast lightweight tasks. All running on hardware you already own. Pods ship today in Hyperspace v5.19. Model sharding, API keys, treasury, and Raft coordinator are all live. What Makes This Different - No middleman. Your prompts travel from your IDE to your pod members' hardware and back. There is no server in between reading your data. - No vendor lock-in. Pod membership, API keys, and treasury are replicated across your own machines using Raft consensus. If the internet goes down, your local network keeps working. There is no database in someone else's cloud that your pod depends on. - Automatic sharding. You don't configure layer ranges or calculate VRAM budgets. Tell the pod which model you want. It figures out how to split it across whatever hardware is online. - Real NAT traversal. Your friend behind a home router with a dynamic IP? Works. No VPN, no Tailscale, no port forwarding. The nodes handle it. - Free when local. This is the part that matters most. Cloud AI bills scale with usage. Pod inference on local hardware scales with nothing. The marginal cost of your 10,000th prompt is the electricity your laptop was already using. Coming soon: - Pod federation: pods form alliances with other pods. - Marketplace: pods with spare capacity can sell inference to other pods.

Varun

308,337 次观看 • 3 个月前

They Don’t Work for You The H‑1B Isn’t Just Stealing Jobs... It’s Not Even Doing the Work. They said the H‑1B was about “top talent.” In reality, it’s become a passport for fraud, offshoring, and economic sabotage. Here’s the Game: • The H‑1B gets the badge, the cubicle, the paycheck • The actual work is done by a cousin back in Hyderabad • Remote login, fake résumés, offshore handoffs, it's routine • We train them. They train the next guy. The next guy is in India “He couldn’t answer a single technical question. His cousin was doing the coding from India.” – r/cscareerquestions “I reported it. HR told me to stop being racist.” – r/consulting This isn’t about immigration. It’s a deliberate proxy labor cartel, operating inside your own economy. And It Gets Worse... Every H‑1B is a pipeline: 1. Remittance Drain • $20K–$30K per worker sent abroad annually • That’s over $12 billion gone, not invested in your city, your schools, your community creating more jobs. 2. Proxy Networks & Job Sharing • Visa holder here, subcontractor there • One job split between two countries • Zero accountability 3. Trojan Horse for Offshoring • Train the H‑1B. Lose your job. • Six months later, your whole department is in Bangalore “We trained our Infosys replacements. Six months later we were gone.” – Former U.S. tech worker, r/cscareerquestions The Real Math: • 1 visa = 2 paychecks → One here, one overseas • 1 job = 3 U.S. workers lost → The jobholder, the trainee, and the one who never got the offer • 1 lie = a thousand closed doors → Americans can't compete with a transnational lie This is not a “talent strategy.” It’s job laundering. It’s extraction. It’s theft. And everyone in power knows it. Anyone pushing for more of it is literally selling American jobs for the money their lobby gives them. Globalists love cheap labor - its making the companies they own worth trillions and screwing Americans is just a side bonus they have zero guilt over. There is not a single American worker that benefits from foreign labor or foreign students- no other country on earth is doing what America is. They just keep calling it "diversity"... so you won’t call it what it is: Treason against the American worker. So common yet posting about this could get your post taken down by the very folks exploiting this. It already happened to an account that has been search banned, demonetized, throttled, and yet - keeps growing.

They Don’t Work for You The H‑1B Isn’t Just Stealing Jobs... It’s Not Even Doing the Work. They said the H‑1B was about “top talent.” In reality, it’s become a passport for fraud, offshoring, and economic sabotage. Here’s the Game: • The H‑1B gets the badge, the cubicle, the paycheck • The actual work is done by a cousin back in Hyderabad • Remote login, fake résumés, offshore handoffs, it's routine • We train them. They train the next guy. The next guy is in India “He couldn’t answer a single technical question. His cousin was doing the coding from India.” – r/cscareerquestions “I reported it. HR told me to stop being racist.” – r/consulting This isn’t about immigration. It’s a deliberate proxy labor cartel, operating inside your own economy. And It Gets Worse... Every H‑1B is a pipeline: 1. Remittance Drain • $20K–$30K per worker sent abroad annually • That’s over $12 billion gone, not invested in your city, your schools, your community creating more jobs. 2. Proxy Networks & Job Sharing • Visa holder here, subcontractor there • One job split between two countries • Zero accountability 3. Trojan Horse for Offshoring • Train the H‑1B. Lose your job. • Six months later, your whole department is in Bangalore “We trained our Infosys replacements. Six months later we were gone.” – Former U.S. tech worker, r/cscareerquestions The Real Math: • 1 visa = 2 paychecks → One here, one overseas • 1 job = 3 U.S. workers lost → The jobholder, the trainee, and the one who never got the offer • 1 lie = a thousand closed doors → Americans can't compete with a transnational lie This is not a “talent strategy.” It’s job laundering. It’s extraction. It’s theft. And everyone in power knows it. Anyone pushing for more of it is literally selling American jobs for the money their lobby gives them. Globalists love cheap labor - its making the companies they own worth trillions and screwing Americans is just a side bonus they have zero guilt over. There is not a single American worker that benefits from foreign labor or foreign students- no other country on earth is doing what America is. They just keep calling it "diversity"... so you won’t call it what it is: Treason against the American worker. So common yet posting about this could get your post taken down by the very folks exploiting this. It already happened to an account that has been search banned, demonetized, throttled, and yet - keeps growing.

Chief_Engineer

13,548 次观看 • 4 个月前

🌟 PETOPIA: JOIN THE $150,000 HALL OF FAME EVENT!🌟 @PetopiaOfficial has officially launched on Sophon, marking the start of a thrilling new era in mobile blockchain gaming! Compete in the Hall of Fame and win a share of the $150K pool. Here’s everything you need to know: — 🟠 HALL OF FAME EVENT 🔸 Compete for your share of the $150,000 prize pool split across two seasons. 🔸 Season 1 runs until February 20, so there’s still time to climb the leaderboard! 🔸 The Top 1000 players earn weighted rewards, and everyone starts fresh for a fair chance. — 🟠 NEW SERVER ON SOPHON 🔸 Petopia’s new server delivers high-speed gameplay and smooth blockchain integration. 🔸 All players, including NFT hero owners, start at Level 1, ensuring a level playing field. 🔸 Progress your heroes across two servers and experience cutting-edge blockchain gaming. — 🟠 EXPANDED GAMEPLAY MODES 🔸 Take on the Trial of Speed to race through dungeons for the best times. 🔸 Challenge Hold the Line to defend against waves of enemies and upgrade your arsenal. 🔸 Experience new modes designed to push your skills to the limit. — Petopia is redefining mobile gaming with blockchain-powered innovation. Join the Hall of Fame Event, rise to glory, and claim your share of the $150,000 prize pool today! 🏆 [Discord link in bio]

🌟 PETOPIA: JOIN THE $150,000 HALL OF FAME EVENT!🌟 @PetopiaOfficial has officially launched on Sophon, marking the start of a thrilling new era in mobile blockchain gaming! Compete in the Hall of Fame and win a share of the $150K pool. Here’s everything you need to know: — 🟠 HALL OF FAME EVENT 🔸 Compete for your share of the $150,000 prize pool split across two seasons. 🔸 Season 1 runs until February 20, so there’s still time to climb the leaderboard! 🔸 The Top 1000 players earn weighted rewards, and everyone starts fresh for a fair chance. — 🟠 NEW SERVER ON SOPHON 🔸 Petopia’s new server delivers high-speed gameplay and smooth blockchain integration. 🔸 All players, including NFT hero owners, start at Level 1, ensuring a level playing field. 🔸 Progress your heroes across two servers and experience cutting-edge blockchain gaming. — 🟠 EXPANDED GAMEPLAY MODES 🔸 Take on the Trial of Speed to race through dungeons for the best times. 🔸 Challenge Hold the Line to defend against waves of enemies and upgrade your arsenal. 🔸 Experience new modes designed to push your skills to the limit. — Petopia is redefining mobile gaming with blockchain-powered innovation. Join the Hall of Fame Event, rise to glory, and claim your share of the $150,000 prize pool today! 🏆 [Discord link in bio]

Beam Gamers

16,601 次观看 • 1 年前